DevOps Engineer

1 day ago

Bengaluru, Karnataka, India Nubra Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Description: DevOps Engineer

Location: Bengaluru | Experience: 3 -7 years | Type: Full-Time

Role Overview

We are looking for an experienced DevOps Engineer with 3 -7 years of expertise to manage scalable cloud infrastructure, optimize CI/CD pipelines, and ensure high system reliability. This role involves full ownership of DevOps processes in a fast-paced fintech environment, from infrastructure automation to production monitoring.

Key Responsibilities

  • Cloud Infrastructure Management: Design and manage cloud infrastructure using tools like AWS, Terraform, or CloudFormation.
  • CI/CD Pipelines: Build, maintain, and optimize pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions.
  • Containerization and Orchestration: Deploy and manage containerized applications using Docker and Kubernetes.
  • Monitoring and Performance: Implement and maintain system monitoring solutions (Prometheus, Grafana, CloudWatch) to ensure high availability and quick resolution of incidents.
  • Security and Compliance: Enforce security best practices and manage compliance with industry standards (e.g., SOC2, GDPR).
  • Collaboration: Work with cross-functional teams to troubleshoot and enhance system performance. Mentor junior engineers to drive DevOps culture.

Required Skills and Qualifications

Core Expertise:

  • Cloud Platforms: Extensive experience with AWS, Azure, or GCP.
  • IaC Tools: Proficiency in Terraform, CloudFormation, or Ansible.
  • CI/CD: Hands-on expertise in building pipelines with Jenkins, GitLab, or similar tools.
  • Containerization: Strong experience with Docker and Kubernetes (EKS/GKE).
  • Proven experience managing production systems, ensuring high availability, and resolving critical incidents.
  • Knowledge of monitoring tools like Prometheus, Grafana, and Datadog.
  • Familiarity with security protocols and compliance (IAM, encryption, VPC isolation).

Preferred Skills

  • Experience with distributed systems and message queues (Kafka, RabbitMQ).
  • Familiarity with cost optimization strategies in cloud environments.
  • Knowledge of disaster recovery and scaling in production environments.

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